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Faclon Vision-Based Particle Size Analysis

by Faclon Labs

Calculates size distributions, detects deviations.

Faclon Labs
Industry
Industrial & ManufacturingManufacturing
Use cases
Condition Monitoring
Deployment
Public SaaSOn-PremisesEdge/Local
Services
InstallationSystem IntegrationSupport & MaintenanceData AnalyticsSoftware Platform
Available in
United StatesIndiaWorldwide
Add to RFP
The challenge

What operators are up against

Operators responsible for bulk material streams, particle images, size distributions, oversize conditions, process quality, and operator decisions cannot continuously inspect every operating condition or developing fault. Periodic checks leave gaps between readings, while isolated local indicators provide limited history and context. A late response can cause downtime, safety exposure, equipment damage, or incomplete compliance evidence. Teams need timely measurements, clear exceptions, and a defined operating response.

The solution

How Faclon Vision-Based Particle Size Analysis addresses it

Faclon Vision-Based Particle Size Analysis combines installed sensing and application software to industrial cameras capture material imagery while configured vision models estimate supported particle sizes. The application calculates size distributions, detects deviations, and presents trends by stream and period. Operators use the resulting dashboard, alert, or workflow to process teams adjust crushing or screening, investigate deviations, and document material-size performance. This creates a repeatable response to the identified physical operating condition.

How it works

A team identifies the monitored assets and operating objective, installs the required components, and configures users, thresholds, schedules, or rules. During operation, the system industrial cameras capture material imagery while configured vision models estimate supported particle sizes. It applies local or hosted logic so that the application calculates size distributions, detects deviations, and presents trends by stream and period. The application presents the relevant state, history, exception, or recommendation. Operators and managers process teams adjust crushing or screening, investigate deviations, and document material-size performance, then review recurring patterns to improve the operating process.

AnalyzePublic SaaS / On-Premises / Edge/Local platform
ActInstallation, System Integration, Support & Maintenance, Data Analytics, Software Platform

Vendor documentation: vendor website

Evidence level: L1 · Vendor-stated: how evidence levels work

Why teams choose it

Vision data capture

Industrial cameras capture material imagery while configured vision models estimate supported particle sizes

Supported data exchange

Field sensors, cameras, meters, PLCs, or other supported sources exchange records through the configured edge-to-cloud or on-premises industrial data path

Operational analytics

The application calculates size distributions, detects deviations, and presents trends by stream and period

Operational response

Process teams adjust crushing or screening, investigate deviations, and document material-size performance

Deployment context

Designed for industrial plants, production facilities, utility areas, warehouses, and infrastructure sites where accountable teams need repeatable visibility and response for this workflow

Role-based visibility

Authorized users can review current status, history, and operating exceptions

Prerequisites

Limitations / not covered

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